We study whether the effects on registered manufacturing output of dismantling the license raj - a system of central controls regulating entry and production activity in this sector - vary across Indian states with different labor market regulations and different nancial development. To guide...

We introduce new quantile estimators with adaptive importance sampling. The adaptive estimators are based on weighted samples that are neither independent nor identically distributed. Using the law of iterated logarithm for martingales, we prove the convergence of the adaptive quantile...

This study finds that a model with internal habit memory allowsto simultaneously explain a series of business cycle and asset pricing puzzles. Compared to the literature, the equity premium puzzle can be resolved in a model with endogenous labor, without giving rise to excessive risk free rate...

The evaluation of the likelihood function of the stochastic conditional duration model requires to compute an integral that has the dimension of the sample size. We apply the efficient importance sampling method for computing this integral. We compare EIS-based ML estimation with QML estimation...